Marine Ecology Skills
Rhedir gan School of Ocean Sciences
20.000 Credyd neu 10.000 Credyd ECTS
Trefnydd: Dr Adel Heenan
The aim of this module is to give students a high level introduction to the entire process of the scientific method, from project inception, sampling design and data analysis through to development of a summary scientific report. Students will be introduced to and have opportunities to practice a number of skills, from ship-based data collection, taxonomic identification, statistical analysis and programming, report writing and map making using GIS. Students will have further opportunities to practice and master the variety of marine ecology skills introduced in this module throughout their Masters program.
The module provides an introduction to the scientific method and an overview of approaches to experimental and survey sampling design, data analysis and interpretation and report writing. Learning will be enhanced through ship-based sampling and laboratory analysis of samples, and students will collaborate to produce a dataset which they will independently analyse to practice statistical and data communication skills. Students will learn about and practice scientific writing and develop introductory map making skills. More specifically the module includes:
- A description of the scientific process with a particular focus on null hypothesis significance testing and revising univariate statistical tests.
- Ideas surrounding statistical sampling design from an observational and empirical perspective
- Data exploration and univariate analysis in the statistical programming environment R
- Introduction to multivariate statistical methods commonly used by marine ecologists and working in the software Primer
- Ship-based benthic grab sampling
- Taxonomic identification of benthic organisms and laboratory processing to collaboratively produce a class dataset
- Independent analysis of the class dataset
- Scientific research and report writing skills
- Mapping and spatial analysis techniques in ArcGIS
A threshold student will have a basic knowledge of the scientific method and hypothesis driven framework, a basic ability to identify benthic organisms as well as a basic ability to quantitatively manipulate and investigate datasets using a range of fundamental approaches using appropriate computer software (R, Primer and ArcGIS). The student will be able to apply and interpret statistical tests and create an evidence based scientific reporting summarizing their work.
A good student will have a thorough understanding of the scientific method and hypothesis driven framework, and a solid ability to identify benthic organisms as well as be competent in quantitatively manipulating datasets using a range of fundamental mathematical tools, have a good ability to interpret datasets and be able to confidently use and interpret statistical tests using appropriate computer software. The student will be able to concisely present and interpret their analytical findings in the context of the wider literature to create a compelling evidence based scientific report summarizing their work.
An excellent student will have a high-level understanding of the scientific method and ability to present testable hypotheses. They will have advanced benthic taxonomy identification skills, as well as have a sophisticated knowledge of quantitatively manipulating datasets using a range of fundamental mathematical tools. Their ability to interpret datasets will be advanced and they be highly skilled in the use and interpretation of statistical tests using appropriate computer software. The student will create a scientific report that has high level understanding of the ecological concepts, as well as a mature interpretation of the results presenting them in the context of wider literature. Their written and presentation style will be highly skilled, concise, clear and compelling.
- recognise sampling design issues (like statistical power and pseudo-replication) that relate to large-scale biological surveys, to experimental field studies and controlled laboratory studies
- identify a variety of common UK benthic organisms with the correct nomenclature using taxonomic keys and identification methods
- demonstrate an understanding of the scientific method from a null hypothesis significance testing framework
- explain situations in which the following univariate statistical tests would be used: t-tests, Mann-Whitney, ANOVA, Kruskal-Wallis, correlation, regression
- explain the basic principles underlying multivariate methods including SIMPER, ANOSIM and MDS.
- summarize key findings from independent desk based literature search on the environmental drivers of variability in benthic community structure
- apply univariate and multivariate methods to a multi-species dataset combined with environmental driver data
- organize key findings from independent desk-based research and data analysis to generate a benthic report written in IMRAD (introduction, methods, results and discussion) format
- ship-based biological data collection (benthic grab samples)
- laboratory based taxonomic identification of benthic grab samples
- programming for data exploration and univariate statistical methods in R
- multivariate methods for community analyses in Primer
- acquire the fundamentals of GIS and apply these to analyze spatial data using ArcGIS
|Benthic survey data collection and analysis scientific report||70.00|
|Predictive modelling GIS Exercise||30.00|
Strategaeth addysgu a dysgu
|Practical classes and workshops||
1 x 3 hour benthic taxonomy training and 3 x 7 hrs taxonomic practice and processing of benthic grabs.
1 hour introductory GIS, 1.5 scientific writing process, 1 hour introduction to benthic assignment, 1 hour sampling design, 1 hour introduction to multivariate, 5 hours lecture univariate and R overview
|Practical classes and workshops||
Computer practicals (Primer, R and GIS) - students work through materials independently with staff available for questions
Sea-going field trip to survey benthos aboard the RV Prince Madog
|Supervised time in studio/workshop||
Help sessions (open Q&A) for benthic report analysis (7 hours) , benthic report writing (2 hours) and GIS assignment (6 hours)
- Llythrennedd - Medrusrwydd mewn darllen ac ysgrifennu drwy amrywiaeth o gyfryngau
- Rhifedd - Medrusrwydd wrth ddefnyddio rhifau ar lefelau priodol o gywirdeb
- Defnyddio cyfrifiaduron - Medrusrwydd wrth ddefnyddio ystod o feddalwedd cyfrifiadurol
- Hunanreolaeth - Gallu gweithio mewn ffordd effeithlon, prydlon a threfnus. Gallu edrych ar ganlyniadau tasgau a digwyddiadau, a barnu lefelau o ansawdd a phwysigrwydd
- Archwilio - Gallu ymchwilio ac ystyried dewisiadau eraill
- Adalw gwybodaeth - Gallu mynd at wahanol ac amrywiol ffynonellau gwybodaeth
- Sgiliau Rhyngbersonol - Gallu gofyn cwestiynau, gwrando'n astud ar atebion a'u harchwilio
- Dadansoddi Beirniadol & Datrys Problem - Gallu dadelfennu a dadansoddi problemau neu sefyllfaoedd cymhleth. Gallu canfod atebion i broblemau drwy ddadansoddiadau ac archwilio posibiliadau
- Ymwybyddiaeth o ddiogelwch - Bod yn ymwybodol o'ch amgylchedd a hyder o ran cadw at reoliadau iechyd a diogelwch
- Cyflwyniad - Gallu cyflwyno gwybodaeth ac esboniadau yn glir i gynulleidfa. Trwy gyfryngau ysgrifenedig neu ar lafar yn glir a hyderus.
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- Mentora - Gallu cefnogi, helpu, arwain, ysbrydoli ac/neu hyfforddi eraill
- Rheloaeth - Gallu defnyddio, cydlynu a rheoli adnoddau (dynol, ffisegol ac/neu ariannol)
- Dadl - Gallu cyflwyno, trafod a chyfiawnhau barn neu lwybr gweithredu, naill ai gydag unigolyn neu mewn grwˆp ehangach
- Hunanymwybyddiaeth & Ystyried - Bod yn ymwybodol o'ch cryfderau, gwendidau, nodau ac amcanion eich hun. Gallu adolygu ,cloriannu a myfyrio'n rheolaidd ar eich perfformiad eich hun ac eraill.
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